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From the Ethics of Technology to the Ethics of Knowledge Assessment

机译:从技术伦理到知识评估伦理

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This paper gives an overview of the way foresight knowledge concerning scientific and technological developments is deliberated in policy. It also offers an approach to assessing the quality of foresight knowledge generated during foresight exercises. Although "foresight knowledge" is a special case, the idea of having a procedure, approach or method available for assessing the quality of knowledge is tempting: foresight knowledge comes from various sources such as different scientific disciplines, normative visions on the future, planning, and scenario's. It also receives input from different sectors of society, such as industry, academia and civil society. How can we then assess the quality of knowledge inputs from such diverse sources and its implication for foresight exercises? This paper is a first attempt to address this subject matter. We realise that this type of work has not been done before, and we hope therefore that this first attempt will stimulate others to further explore this issue. Since the aim of this paper is to address "knowledge assessment" on "Foresight knowledge", we will first give an overview of what foresight actually is, before entering into the core issue of the paper - that is, what "knowledge assessment" addresses and where it could intervene in the framework of a Foresight-exercise. It may thereby also clarify the relevance of knowledge assessment beyond the context of foresight knowledge itself; although it will be seen that "foresight" is a particular case for which "knowledge assessment" is required. The first part of the paper is devoted to the deliberation process in the policy context and especially identifies the normative dimensions of such a process and its consequences for knowledge generation. The second part will enter into the issue of knowledge assessment of foresight knowledge. In both parts foresight knowledge is illustrated by reference to issues of sustainable development.
机译:本文概述了在政策中审议有关科学和技术发展的预见性知识的方式。它还提供了一种方法来评估在预见练习中产生的预见知识的质量。尽管“前瞻性知识”是一个特例,但拥有一种可用来评估知识质量的程序,方法或方法的想法很诱人:预见性知识来自各种来源,例如不同的科学学科,对未来的规范性愿景,规划,和场景的。它还从工业,学术界和民间社会等社会不同部门获得投入。然后,我们如何评估来自这些不同来源的知识输入的质量及其对远见卓识的启示?本文是解决该主题的首次尝试。我们意识到这种类型的工作以前从未完成过,因此我们希望这种首次尝试将激发其他人进一步探讨这个问题。由于本文的目的是针对“远见知识”进行“知识评估”,因此在进入本文的核心问题之前,我们将首先概述远见到底是什么,即“知识评估”要解决的内容以及它可以在有远见的锻炼框架中进行干预的地方。因此,它还可以澄清远见知识本身以外知识评估的相关性;尽管可以看出,“前瞻性”是需要“知识评估”的特殊情况。本文的第一部分致力于政策环境下的审议过程,尤其是确定了该过程的规范维度及其对知识生成的影响。第二部分将探讨前瞻性知识的知识评估问题。在这两部分中,通过参考可持续发展问题来说明预见性知识。

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